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← Every frontier model is profitable on its own; the company loses money…
17 connected korrents · 15 moments from 18 Mar 2024 to 21 Oct 2026.
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physics Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: Every frontier model is profitable on its own; the company loses money only because it is already training one ten times more expensive. Every frontier model is profitable on its own; the company loses money only because it is already training one ten times more expensive. Last stated 8 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: Frontier models must be cheap enough for anyone to use, because a world in which they are rationed to the wealthiest developers is the wrong world. — tap to centre the map on it Frontier models must be cheap enough for anyone to use, because a world in which they are rationed to the wealthiest developers is the wrong world. Last stated 3 months ago
29 Jul 2026
AW
Alexandr Wang — holds since 2026-07-29 — tap for who they are
Same subject: Training a frontier model achieves almost nothing by itself; all the economic and military power comes from deploying it, and deployment is what consumes the compute. — tap to centre the map on it Training a frontier model achieves almost nothing by itself; all the economic and military power comes from deploying it, and deployment is what consumes the compute. Last stated 2 years ago
3 Feb 2025
DP
Dylan Patel — holds since 2025-02-03 — tap for who they are
Same subject: The frontier-model layer has to consolidate to a few players, because only a tax collected from everyone building on top pays back pre-training and post-training. — tap to centre the map on it The frontier-model layer has to consolidate to a few players, because only a tax collected from everyone building on top pays back pre-training and post-training. Last stated a year ago
18 Aug 2025
BT
Bret Taylor — holds since 2025-08-18 — tap for who they are
Same subject: The costs of building true frontier models are now measured in billions per major model, meaning only huge companies can sustain them. — tap to centre the map on it The costs of building true frontier models are now measured in billions per major model, meaning only huge companies can sustain them. Last stated 6 days ago
17 Oct 2026
NL
Nathan Lambert — holds since 2026-10-17 — tap for who they are
Same subject: An applied AI company should not train its own foundation model, because a foundation model is the fastest deteriorating asset there is. — tap to centre the map on it An applied AI company should not train its own foundation model, because a foundation model is the fastest deteriorating asset there is. Last stated a year ago
18 Aug 2025
BT
Bret Taylor — holds since 2025-08-18 — tap for who they are
Same subject: A competitor six months or a year behind the frontier can stay close, because the cost of AI falls more than tenfold every year. — tap to centre the map on it A competitor six months or a year behind the frontier can stay close, because the cost of AI falls more than tenfold every year. Last stated 9 months ago
8 Jan 2026
JH
Jensen Huang — holds since 2026-01-08 — tap for who they are
Same subject: A frontier lab should not spend its researchers harvesting results out of today's models; the payoff is in building the next one. — tap to centre the map on it A frontier lab should not spend its researchers harvesting results out of today's models; the payoff is in building the next one. Last stated 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: Without good intuition for models, treat 100k tokens on smaller models and 200k on the frontier ones as the line past which the quality of your results is probably already degrading. — tap to centre the map on it Without good intuition for models, treat 100k tokens on smaller models and 200k on the frontier ones as the line past which the quality of your results is probably already degrading. Last stated 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. — tap to centre the map on it A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. Last stated 2 days ago
21 Oct 2026
PS
Peter Steinberger — holds since 2026-10-21 — tap for who they are
Same subject: A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. — tap to centre the map on it Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. — tap to centre the map on it A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. Last stated 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. — tap to centre the map on it A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. Last stated 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy. — tap to centre the map on it A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy. Last stated 4 weeks ago
27 Sept 2026
MG
Molly Graham — holds since 2026-09-27 — tap for who they are
Same subject: A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. — tap to centre the map on it A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. Last stated 4 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: AI can now produce in minutes work that used to take weeks to build. — tap to centre the map on it AI can now produce in minutes work that used to take weeks to build. Last stated 5 months ago
26 May 2026
CB
Carlos Alexandro Becker — holds since 2026-05-26 — tap for who they are
At the centre
Every frontier model is profitable on its own; the company loses money only because it is already training one ten times more expensive.
Holds Read this korrent →
Frontier models must be cheap enough for anyone to use, because a world in which they are rationed to the wealthiest developers is the wrong world.
Holds
Training a frontier model achieves almost nothing by itself; all the economic and military power comes from deploying it, and deployment is what consumes the compute.
Holds
The frontier-model layer has to consolidate to a few players, because only a tax collected from everyone building on top pays back pre-training and post-training.
Holds
The costs of building true frontier models are now measured in billions per major model, meaning only huge companies can sustain them.
Holds
An applied AI company should not train its own foundation model, because a foundation model is the fastest deteriorating asset there is.
Holds
A competitor six months or a year behind the frontier can stay close, because the cost of AI falls more than tenfold every year.
Holds
A frontier lab should not spend its researchers harvesting results out of today's models; the payoff is in building the next one.
Holds
Without good intuition for models, treat 100k tokens on smaller models and 200k on the frontier ones as the line past which the quality of your results is probably already degrading.
Holds
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Holds
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Holds
Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers.
Holds
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Holds
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds
A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from.
Holds
A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy.
Holds
A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent.
Holds
AI can now produce in minutes work that used to take weeks to build.
Holds